上肢姿势控制任务中脊柱伸展反射的上调

R. Miller, T. Cluff
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摘要

背景:来自眼睛,皮肤,前庭器官和肌肉中的感受器的感觉反馈使我们能够在环境中建立我们身体的位置和运动的准确表征。研究表明,在不可预测的情况下,比如在阵风中撑伞时,神经系统会上调感觉器官的敏感性,以对抗干扰,增加成功的可能性。迄今为止,研究只集中在站立平衡过程中下肢反馈机制的上调。对于感觉上调是否以及如何影响上肢运动的控制,我们所知相对较少。目的:研究与不可预测的机械环境相互作用时,上肢肌肉活动和脊柱拉伸反射的上调和适应。方法:10名健康的右撇子成年人(年龄范围:20 - 27岁)执行姿势控制任务,目标是将他们的手保持在固定的目标范围内。参与者坐着完成这项任务,他们的手臂由外骨骼机器人支撑,外骨骼机器人可以感知和干扰手臂的运动。他们在虚拟现实系统上收到了他们的实时运动反馈。该协议分三个阶段交付。基线阶段包括50个试验,受试者在没有机械干扰的情况下将手放在目标物体上。然后,受试者进行了近暴露阶段,包括100次无效试验(没有施加力),100次产生快速肘部弯曲(+2Nm)的步进扭矩扰动,以及100次引起快速肘部伸展(-2Nm)的扰动。然后,我们意外地消除了这些干扰,受试者进行了75次试验,以确定肌肉活动是否恢复到基线水平。在整个实验过程中记录运动学和肌肉活动。结果:初步结果表明,当首次暴露于不可预测的机械扰动并系统地适应反复暴露时,背景肌肉活动和脊柱拉伸反射最大。结论:与站立平衡实验中下肢观察到的结果相似,我们观察到当上肢与不可预测的机械环境相互作用时,背景肌肉活动和脊柱拉伸反射上调。脊柱拉伸反应的振幅和背景肌肉活动随着反复暴露于不可预测的机械扰动而系统地衰减。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Upregulation of spinal stretch reflexes during upper-limb posture control task
Background: Sensory feedback from receptors in the eyes, skin, vestibular organs and muscles allows us to build accurate representations of the position and motion of our body within the environment. In unpredictable situations, such as when holding an umbrella in gusting winds, studies have suggested the nervous system upregulates the sensitivity of sensory organs to counter disturbances and increase the probability of success. To date, studies have focused exclusively on the upregulation of feedback mechanisms in the lower-limbs during standing balance. We know comparatively little about whether and how sensory upregulation contributes to the control of upper limb motor actions. Objectives: Examine the upregulation and adaptation of upper limb muscle activity and spinal stretch reflexes when interacting with unpredictable mechanical environments. Methods: Ten healthy, right-handed adults (age range: 20 – 27 years) performed a postural control task where the goal was to maintain their hand within a fixed target. Participants performed the task while seated with their arm supported in an exoskeleton robot that can sense and disturb arm motion. They received real-time feedback of their movements on a virtual reality system. The protocol was delivered in three phases. The baseline phase consisted of 50 trials where subjects maintained their hand in the target in the absence of mechanical disturbances. Subjects then performed a peri-exposure phase that consisted of 100 null trials (no forces applied), 100 step-torque perturbations that produced rapid elbow flexion (+2Nm), and 100 perturbations that caused rapid elbow extension (-2Nm). We then unexpectedly removed the perturbations and subjects performed 75 trials to determine whether muscle activity returned to baseline levels. Kinematics and muscle activity were recorded throughout the experiment. Results: Preliminary results show that background muscle activity and spinal stretch reflexes were the largest when first exposed to unpredictable mechanical perturbations and adapted systematically with repeated exposure. Conclusions: Similar to results observed in the lower-limbs during standing balance experiments, we observed upregulation of background muscle activity and spinal stretch reflexes when interacting with unpredictable mechanical environments with the upper-limb. The amplitude of spinal stretch responses and background muscle activity decayed systematically with repeated exposure to unpredictable mechanical perturbations.
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